Triple
T9468508
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | British Airways Concorde Room |
E228332
|
entity |
| Predicate | timeBeforeFlightUsage |
P88287
|
FINISHED |
| Object | pre-departure |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: pre-departure | Statement: [British Airways Concorde Room, timeBeforeFlightUsage, pre-departure]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeBeforeFlightUsage Context triple: [British Airways Concorde Room, timeBeforeFlightUsage, pre-departure]
-
A.
timeAfterTakeoff
Indicates that a specified time point occurs after the moment of takeoff in a flight or launch sequence.
-
B.
flightPeriod
Indicates the time span during which a flight occurs or is scheduled to operate.
-
C.
flightDuration
Indicates the length of time that a specific flight takes from departure to arrival.
-
D.
airTime
Indicates the duration or scheduling time during which something, typically a broadcast or performance, is transmitted or presented.
-
E.
firstFlightUse
Indicates that an entity is being used or operated for the very first time in a flight.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ca846fee388190a6ec273fd644b88b |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd7fdf604481909bf7d7d477230ca3 |
completed | April 1, 2026, 8:28 p.m. |
| PD | Predicate disambiguation | batch_69cca55f01b081908dc0f12eaa45f832 |
completed | April 1, 2026, 4:55 a.m. |
| PDg | Predicate description generation | batch_69cca89d0f0c8190b4528990fe708fca |
completed | April 1, 2026, 5:09 a.m. |
Created at: March 30, 2026, 7:53 p.m.